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GradientBoostingClassifier — scikit-learn 1.5.2...
Gallery examples: Feature transformations with ensembles of trees Gradient Boosting Out-of-Bag estimates Gradient Boosting regularization Feature discretizationscikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
HistGradientBoostingRegressor — scikit-learn 1....
Gallery examples: Release Highlights for scikit-learn 1.3 Release Highlights for scikit-learn 1.2 Release Highlights for scikit-learn 1.1 Release Highlights for scikit-learn 1.0 Release Highlights ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
FixedThresholdClassifier — scikit-learn 1.5.2 d...
Gallery examples: Release Highlights for scikit-learn 1.5 Post-tuning the decision threshold for cost-sensitive learningscikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
KFold — scikit-learn 1.5.2 documentation
Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Nested versus non-nested cros...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
PrecisionRecallDisplay — scikit-learn 1.5.2 doc...
Gallery examples: Visualizations with Display Objects Precision-Recall Post-tuning the decision threshold for cost-sensitive learning Precision-Recall Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
DecisionTreeRegressor — scikit-learn 1.5.2 docu...
Gallery examples: Release Highlights for scikit-learn 0.24 Release Highlights for scikit-learn 0.22 Decision Tree Regression Multi-output Decision Tree Regression Decision Tree Regression with AdaB...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
RFE — scikit-learn 1.5.2 documentation
Gallery examples: Recursive feature eliminationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
MLPRegressor — scikit-learn 1.5.2 documentation
Gallery examples: Time-related feature engineering Partial Dependence and Individual Conditional Expectation Plots Advanced Plotting With Partial Dependencescikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
Bunch — scikit-learn 1.5.2 documentation
Gallery examples: Species distribution modelingscikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
FeatureUnion — scikit-learn 1.5.2 documentation
Gallery examples: Time-related feature engineering Concatenating multiple feature extraction methodsscikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html